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    In-line chromatic aberration correction in wide dynamic range (WDR) image processing pipeline
    4.
    发明授权
    In-line chromatic aberration correction in wide dynamic range (WDR) image processing pipeline 有权

    公开(公告)号：US12192653B2

    公开(公告)日：2025-01-07

    申请号：US18343018

    申请日：2023-06-28

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Gang Hua ,  Rajasekhar Reddy Allu ,  Mihir Narendra Mody ,  Niraj Nandan ,  Mayank Mangla ,  Pandy Kalimuthu

    IPC: H04N25/611 ,  G06T1/60 ,  G06T3/4015 ,  H04N25/13

    Abstract: In an advanced driver-assistance system (ADAS), RAW sensor image processing for a machine vision (MV) application is important. Due to different color, e.g., red/green/blue (RGB), color components, being focused by the lens at different locations in image plane, the lateral chromatic aberration phenomenon may sometimes be observed, which causes false color around edges in the final image output, especially for high contrast edges, which can impede MV applications. Disclosed herein are low-latency, efficient, optimized designs for chromatic aberration correction (CAC) components. An in-pipeline CAC design may be used to perform on-the-fly CAC without any out-of-pipeline memory traffic; enable use of wide dynamic range (WDR) sensors; uses bicubic interpolation; support vertical and horizontal chromatic aberration color channel offsets, reduce CAC line memory requirements, and support flexible look-up table (LUT) down-sampling factors to improve the spatial precision of correction and accommodate popular image sensor resolutions.

    Fault detection in a real-time image pipeline
    5.
    发明授权
    Fault detection in a real-time image pipeline 有权

    公开(公告)号：US12125122B2

    公开(公告)日：2024-10-22

    申请号：US17556161

    申请日：2021-12-20

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Mihir Narendra Mody ,  Niraj Nandan ,  Ankur Ankur ,  Mayank Mangla ,  Prithvi Shankar Yeyyadi Anantha

    IPC: G06T1/20 ,  G06F9/48 ,  G06F11/10 ,  G06T1/60

    CPC classification number: G06T1/20 ,  G06F9/4812 ,  G06F11/1004 ,  G06T1/60

    Abstract: A technique including receiving an image stream for processing; processing the received image stream in a real time mode of operation; outputting an indication that an image processing pipeline has begun processing the received image stream; receiving, in response to the indication, first configuration information associated with test data for testing the image processing pipeline; switching the image processing pipeline to a non-real time mode of operation to process the test data based on the first configuration information during a vertical blanking period of the received image stream; loading the test data from an external memory; switching an input of the image processing pipeline from the image stream to the test data; determining a checksum based on the processed test data; comparing the determined checksum to an expected checksum to determine that the test data was successfully processed; and outputting an indication that the test data was successfully processed.

    Defective pixel detection
    9.
    发明授权
    Defective pixel detection 有权

    公开(公告)号：US12244979B2

    公开(公告)日：2025-03-04

    申请号：US17983905

    申请日：2022-11-09

    Applicant: TEXAS INSTRUMENTS INCORPORATED

    Inventor： Jing-Fei Ren ,  Hrushikesh Garud ,  Rajasekhar Allu ,  Gang Hua ,  Niraj Nandan ,  Mayank Mangla ,  Mihir Narendra Mody

    IPC: H04N9/64 ,  G06T7/00 ,  G06T7/90

    Abstract: Various embodiments disclosed herein relate to defective pixel detection and correction, and more specifically to using threshold functions based on color channels to compare pixel values to threshold values. A method is provided herein that comprises identifying a color channel of an image pixel in a frame and identifying a threshold function based at least on the color channel. The method further comprises applying the threshold function to one or more nearest-neighbor values to obtain a threshold value and determining whether a corresponding sensor pixel is defective based at least on a comparison of the image pixel to the threshold value.

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